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通过人工智能分析来描述支气管切除的研究趋势

Jayanth Kumar Narayana1, Yolanda Koo Wei Ling1, Micheál Mac Aogáin2,3

  • 1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

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人工智能 (AI) 分析显示,支气管切除症的研究显著增加,新课题正在迅速出现. 这种转变表明了以患者为中心的护理,并突出了不断发展的研究趋势.

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科学领域:

  • 肺部医学
  • 医疗信息学
  • 图书识别技术

背景情况:

  • 支气管切除的研究兴趣正在增长.
  • 之前的研究没有利用人工智能 (AI) 来分析支气管切除的研究趋势,主题和知识差距.

研究的目的:

  • 使用人工智能来描述支气管病学文献中的研究趋势,主题和知识差距.
  • 在75年的时间里评估支气管切除研究的演变.

主要方法:

  • 一个75年 (1949-2024) 的原始支气管切除研究.
  • 采用了两种基于人工智能的方法:ATLAS (人工智能主题建模) 和基于ChatGPT的定制模型.

主要成果:

  • 自2000年以来, 支气管切除症的研究已经加快了九倍, 每隔五年就会出现四个新主题.
  • 出版趋势与高分辨率计算机断层扫描 (HRCT),下一代测序和临床指南等进展相关.
  • 持续的研究领域包括支气管切除-COPD重叠和微生物群感染;趋势主题涉及微生物病原体和原发性纤维功能障碍 (PCD) 遗传学. 死亡率是一个新兴的话题,每年都引起人们的兴趣.

结论:

  • 人工智能证明支气管切除是一个充满活力的跨学科领域,
  • 新兴主题建议从以疾病为中心的研究方法转向以患者为中心的研究方法,以改善临床护理.